class_docstr: Test the DroppingCurve visualizer
docstr: Test learning curve with bad input for feature size.
docstr_tok: ["Test","learning","curve","with","bad","input","for","feature","size","."]
code: def test_bad_train_sizes(self):
      """
      Test learning curve with bad input for feature size.
      """
      with pytest.raises(YellowbrickValueError):
          DroppingCurve(SVC(), param_name="gamma", feature_sizes=100)
  
imports: import sys
  import pytest
  import numpy
  from unittest.mock import patch
  from tests.base import VisualTestCase
  from sklearn.svm import SVC
  from sklearn.naive_bayes import BernoulliNB, MultinomialNB
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.preprocessing import OneHotEncoder, MinMaxScaler
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.model_selection import ShuffleSplit, StratifiedKFold
  from sklearn.pipeline import Pipeline
  from yellowbrick.datasets import load_mushroom
  from yellowbrick.exceptions import YellowbrickValueError
  from yellowbrick.model_selection import DroppingCurve, dropping_curve
label_desc: Use image node_id 7 for calling the TestDroppingCurve obj's underlying member method code with example usage: obj.test_bad_train_sizes() without return types